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The findings of a case study assessing the design and implementation of an electronic health record (EHR) in the public health system of Colima, Mexico, its perceived benefits and limitations, and recommendations for improving the implementation process are presented. In-depth interviews and focus group discussions were used to examine the experience of the actors and stakeholders participating in the design and implementation of EHRs. Results indicate that the main driving [...]

To examine how clinicians on the receiving end of admission handoffs use electronic health records (EHRs) in preparation for those handoffs and to identify the kinds of impacts such usage may have.

We explored two strategies for query expansion utilizing medical subject headings (MeSH) ontology to improve the effectiveness of medical image retrieval systems. In order to achieve greater effectiveness in the expansion, the search text was analyzed to identify which terms were most amenable to being expanded.

To review the literature on clinical decision support (CDS) for genetically guided personalized medicine (GPM).

(1) To evaluate a state-of-the-art natural language processing (NLP)-based approach to automatically de-identify a large set of diverse clinical notes. (2) To measure the impact of de-identification on the performance of information extraction algorithms on the de-identified documents.

To examine information flow, a vital component of a patient's care and outcomes, in a sample of multiple hospital nursing units to uncover potential sources of error and opportunities for systematic improvement.

Logical Observation Identifiers Names and Codes (LOINC) mapping of laboratory data is often a question of the effort of mapping compared with the benefits of the structure achieved. The new LOINC mapping assistant RELMA (version 2011) has the potential to reduce the effort required for semi-automated mapping. We examined quality, time effort, and sustainability of such mapping.

The literature describes teenagers as active users of social media, who seem to care about privacy, but who also reveal a considerable amount of personal information. There have been no studies of how they manage personal health information on social media.

Underage alcohol use is the leading cause of preventable mortality among adolescents in the USA. Moreover, the average age of onset of underage drinking is 13 years. This study examined the feasibility of using a text messaging survey (TMS) to assess adolescent alcohol use. A sample of 29 adolescents, aged 13-17 years, was recruited from two primary care clinics. They completed a 16 question TMS while in the waiting room [...]

To determine if automated screening and just in time delivery of testing and referral materials at the point of care promotes universal screening referral rates for maternal depression.